How are mean and variance calculated in Bayesian curve fitting?
Since you only mention that their Gaussian, here is a screenshot depicting the relationship of gaussian conjugate priors  



I took this from wikipedia. If you check with what ever your likelihood and priors parameters are it probably all works out (you did not add these in the question)  

From a quick google, here's a link to someone going through the proof: link